Machine Learning Engineer (AI Infrastructure)

JAC RECRUITMENT PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

JAC RECRUITMENT PTE. LTD. Singapore is helping an AI startup hire a Machine Learning Engineer focused on AI infrastructure.

You will build and maintain training, evaluation, deployment and inference pipelines for a production-ready AI assistant. Strong Python and software engineering skills are required, with experience in ML platforms, model serving, data pipelines, and cloud infrastructure. You will work with researchers to bring models into production and optimize scalability, latency and

Qualifications

• Strong software engineering and Python skills.
• Experience with ML platforms, model deployment, inference systems, or data pipelines.
• Knowledge of distributed systems, cloud infrastructure, and production reliability.
• Familiarity with PyTorch/JAX, LLM serving frameworks, GPU infrastructure, and vector databases is advantageous.
• Thrives in fast-paced, high-ownership startup environments.

Responsibilities

• Build and maintain ML/AI infrastructure for training, evaluation, deployment, and inference.
• Optimize AI systems for scalability, reliability, latency, and cost efficiency.
• Develop data pipelines, monitoring, observability, and benchmarking frameworks.
• Work closely with AI researchers and engineers to bring models into production.

Skills

Python

Software engineering

ML platforms & deployment

Distributed systems

Cloud infrastructure

LLM serving

GPU infrastructure

Vector databases

Job description

Machine Learning Engineer (AI Infrastructure)

Join an AI startup building an intelligent productivity assistant that helps users automate tasks and workflows using advanced AI.

Key responsibilities

• Build and maintain ML/AI infrastructure for training, evaluation, deployment, and inference.

• Optimize AI systems for scalability, reliability, latency, and cost efficiency.

• Develop data pipelines, monitoring, observability, and benchmarking frameworks.

• Work closely with AI researchers and engineers to bring models into production.

Ideal candidate

• Strong software engineering and Python skills.

• Experience with ML platforms, model deployment, inference systems, or data pipelines.

• Knowledge of distributed systems, cloud infrastructure, and production reliability.

• Familiarity with PyTorch/JAX, LLM serving frameworks, GPU infrastructure, and vector databases is advantageous.

• Thrives in fast-paced, high-ownership startup environments.

Why join

• Opportunity to build the foundational infrastructure behind cutting-edge AI products.

• Work on large-scale AI systems spanning model training, serving, evaluation, and observability.

• Direct impact on the company's ability to deliver reliable, production-ready AI solutions.